Metode Penentuan Shift Pegawai Pada RS.Bhayangkara Tk.II Medan Dengan Simple Additive Weighting

2018 ◽  
Vol 2 (2) ◽  
pp. 66-75
Author(s):  
Desi Hotnida Pasaribu ◽  
Asaziduhu Gea
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Programming Language ◽  
Support System ◽  
Performance Ratings ◽  
Accurate Information ◽  
Weighted Sum ◽  
Decision Matrix ◽  
Web Based ◽  
Simple Additive Weighting

ABSTRAK   Penelitian ini adalah Sistem Pendukung Keputusan penentuan Shift pegawai dengan menggunakan metode Simple Additive Weighting(SAW) proses dari metode SAW yaitu mencari penjumlahan terbobot dari rating kinerja pada setiap alternatif pada semua kriteria, membuat  tabel rating kecocokan dari setiap alternatif pada setiap kriteria yang telah ditentukkan dan membuat sebuah matriks keputusan. Aplikasi yang dibangun merupakan aplikasi berbasis web dengan menggunakan bahasa pemrograman PHP dan menggunakan database MySQL. Tujuan dari penelitian ini adalah untuk menyelesaiakan permasalahan Shift Pegawai secara terkomputerasi, Dengan adanya sistem ini maka RS. Bhayangkara Tk. II Medan dapat memberikan informasi yang cepat dan akurat. Kata Kunci : SPK,SAW, PHP, MYSQL   ABSTRACT   This study is a Decision Support System for determining employee shifts using the Simple Additive Weighting (SAW) method of the SAW method, which is looking for a weighted sum of performance ratings on each alternative on all criteria, making a suitability rating table for each alternative on each specified criteria and make a decision matrix. The application that is built is a web-based application using the PHP programming language and using a MySQL database. The purpose of this study is to solve the problem of Employee Shift computerized, with the existence of this system the Hospital. Bhayangkara Kindergarten. II Medan can provide fast and accurate information. Keywords: SPK, SAW, PHP, MYSQL

Perancangan Sistem Pendukung Keputusan Pemilihan Pelanggan Terbaik Menggunakan Metode Simple Additive Weighting (SAW) Pada Bravo Supermarket Jombang

2016 ◽  
Vol 2 (1) ◽  
pp. 40
Author(s):  
Fatikhatus Sholikhah ◽  
Diema Hernyka Satyareni ◽  
Chandra Sukma Anugerah
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Customer Loyalty ◽  
Design Decision ◽  
Web Based ◽  
Business World ◽  
Election System ◽  
Simple Additive Weighting ◽  
The Town

Abstrak Persaingan merupakan hal yang biasa terjadi terutama dalam dunia bisnis, tidak terkecuali yang telah dialami oleh Bravo Supermarket Jombang. Bravo bukanlah satu-satunya supermarket di kota Jombang, sehingga Bravo harus bersaing dengan para kompetitornya agar Bravo bisa bersaing dan tetap produktif. Salah satu cara yang dapat digunakan dalam meningkatkan penjualan dan loyalitas pelanggan adalah dengan memberikan reward kepada para pelanggan terbaik. Oleh karena itu perlu dibuatlah sebuah perancangan sistem pendukung keputusan dalam pemilihan pelanggan terbaik pada Bravo. Dalam perancangan sistem yang dibuat nantinya berbasis web dengan metode SAW(Simple Additive Weighting)sebagai proses perhitungan pemilihan pelanggan terbaik. Hasil dari perancangan sistem pemilihan pelanggan terbaik pada Bravo Supermarket Jombang diharapkan dapat membantu pihak manajemen Bravo dalam pemilihan pelanggan terbaik yang akan menerima reward dan akhirnya akan mampu meningkatkan loyalitas pelanggan dan profit Bravo. Kata kunci: Bravo, sistem pendukung keputusan, pelanggan, SAW. Abstract Competition is a common thing, especially in the business world, is no exception has been experienced by Bravo Supermarket Jombang. Bravo is not the only supermarket in the town of Jombang, so that Bravo had to compete with its competitors in order Bravo to compete and remain productive. One way that can be used to increase sales and customer loyalty is to give rewards to the best customers. Therefore, it needs to be made to a design decision support system in the selection of the best customers on Bravo. In designing the system made later on a web-based method of SAW (Simple Additive weighting) as the process of calculating the best customer selection. The results of the election system design best customers at Bravo Supermarket Jombang expected to assist management in selecting the best customer Bravo who will receive rewards and will eventually be able to increase customer loyalty and profit Bravo. Key word: Bravo, decision support system, customers, SAW.

IMPLEMENTASI TEOREMA NAÏVE BAYES PADA SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN REKOMENDASI TEMPAT WISATA TERBAIK DISULAWESI SELATAN

2019 ◽  
Vol 2 (1) ◽  
pp. 40-46
Author(s):  
Rikardo Chandra ◽  
Izmy alwiah Musdar ◽  
Junaedy .
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Programming Language ◽  
Support System ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Web Based ◽  
Tourist Attractions ◽  
South Sulawesi

This study aims to design and build web-based decision support system applications used to recommend the best tourist attractions in South Sulawesi to tourists. The expected benefit of this research is to help the user get the best tourist recommendation information available in South Sulawesi based on the conditions in input factors. The theorem or method used in this study, namely the theorem Naïve Bayes. The design of the system isimplemented using PHP programming language and MYSQL database. Based on the results of the research, the authors have successfully built the application of decision support system to determine the recommendation of tourist attractions in South Sulawesi with 65% accuracy based on 20 tests conducted.

scholarly journals Simple Additive Weighting to Diagnose Rabbit Disease

2018 ◽  
Vol 31 ◽  
pp. 10002 ◽  
Author(s):  
Ramadiani ◽  
Dyna Marissa ◽  
Muhammad Labib Jundillah ◽  
Azainil ◽  
Heliza Rahmania Hatta
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
General Public ◽  
Disease Diagnosis ◽  
Weighting Method ◽  
Web Based ◽  
System Recommendation ◽  
Simple Additive Weighting ◽  
The Many

Rabbit is one of the many pets maintained by the general public in Indonesia. Like other pet, rabbits are also susceptible to various diseases. Society in general does not understand correctly the type of rabbit disease and the way of treatment. To help care for sick rabbits it is necessary a decision support system recommendation diagnosis of rabbit disease. The purpose of this research is to make the application of rabbit disease diagnosis system so that can help user in taking care of rabbit. This application diagnoses the disease by tracing the symptoms and calculating the recommendation of the disease using Simple Additive Weighting method. This research produces a web-based decision support system that is used to help rabbit breeders and the general public.

scholarly journals The Hotel Recommendation System Using SAW (Simple Additive Weighting) And TOPSIS (The Technique for Order of Preference by Similarity to Ideal Solution) Method

bit-Tech ◽  
2019 ◽  
Vol 1 (3) ◽  
pp. 131-145
Author(s):  
Aditiya Hermawan ◽  
Evan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Recommendation System ◽  
Solution Method ◽  
Test Results ◽  
Economic Sectors ◽  
Web Based ◽  
Search Site ◽  
Simple Additive Weighting

Tourism is one of the important economic sectors in Indonesia that needs to be developed. This is based on data of the number of tourist visits from “Kementrian Pariwisata Republik Indonesia” website that the number of tourists in Indonesia is very much and continues to increase over time. Due to the increasing number of tourist visits from various places, makes many entrepreneurs are competing to establish a hotel as a place of business with variety of  price, class, facility and service. Then, the growth of the hotels became very rapid. With so many choices of the hotels, of course it will cause a problems for tourists to decide which hotel is suitable with the desired criteria. With the development of information technology in this era of globalization, technology should be utilized to solve this problem as a decision support system that can recommend which hotel is the most suitable from the tourist desires. The hotel data to be used in this research comes from hotel search site. The methods used for this decision support system are SAW and TOPSIS methods. The reason for using this methods is because SAW has the ability to assess more accurately because it is based on criteria and the computation of TOPSIS method is efficient and fast. The criteria used on choosing the hotel are price, facilities and class. The results of this research has been generated as a web-based application for hotel recommendation. Based on the test results of this hotel recommendation system application, this application works as expected.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN PENERIMA BEASISWA BIDIKMISI MENGGUNAKAN METODE SMART

JURTEKSI ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. 285-292
Author(s):  
Sukamto Sukamto ◽  
Yanti Andriyani ◽  
Ayu Lestari
Keyword(s):  
Experimental Data ◽  
Decision Support ◽  
Decision Support System ◽  
Programming Language ◽  
Support System ◽  
Evaluation Process ◽  
Web Based ◽  
Scholarship Recipients ◽  
Uml Diagrams ◽  
The University

Abstract: Scholarships are provided selectively according to the type of learning held. There are so many scholarships offered to students who are outstanding and poor, one of which is the scholarship provided by the University of Riau, named Bidikmisi scholarship. The evaluation process of prospective scholarship recipients is carried out by the committee directly and is still done manually. So that it allows the creation of a support system for the decision to accept Bidikmisi scholarships using the smart web-based method. The system created, designed using UML diagrams, the system has made using the PHP programming language and database. The resulting system can process  using ten experimental data obtained a sequence of values from highest to smallest, with the highest amount of 0.75.            Keywords: Bidikmisi; Decision Support System; Scholarship; Smart Method.  Abstrak: Pemberian beasiswa dilakukan secara selekif sesuai dengan jenis beasiswa yang diadakan. Banyak sekali beasiswa yang ditawarkan kepada mahasiswa yang berprestasi dan kurang mampu, salah satunya beasiswa yang ditawarkan universitas riau yaitu beasiswa bidikmisi. Proses Penilaian calon penerima beasiswa dilakukan oleh panitia secara langsung dan masih dilakukan secara manual. Sehingga memungkinkan dibuatnya suatu sistem pendukung keputusan penerimaan beasiswa bidikmisi menggunakan metode smart berbasis web. Sistem yang dibuat, dirancang menggunakan UML diagram, pembuatan sistem menggunakan bahasa pemrograman PHP dan database. Sistem yang dihasilkan mampu mengolah data mahasiswa, mengolah data calon penerima untuk dihitung dan laporan jumlah calon penerima yang diterima dan ditolak. Hasil akhir dengan menggunakan 10 data percobaan diperoleh urutan nilai dari yang tertinggi sampai terkecil, dengan nilai tertinggi 0,75. Kata kunci: Beasiwa; Bidikmisi; Sistem Pendukung Keputusan; Smart. 

scholarly journals Penerapan Metode Simple Additive Weighting Sebagai Strategi Pembinaan Kecerdasan Anak

JURTEKSI ◽  
2017 ◽  
Vol 4 (1) ◽  
pp. 65-70
Author(s):  
Muhammad Ardiansyah Sembiring
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Formal Education ◽  
Study Data ◽  
Education Level ◽  
Weighted Sum ◽  
Childhood Education ◽  
Simple Additive Weighting ◽  
Method Analysis

Abstract: Kindergarten is an early childhood education that has an important role in developing the child's personality and preparing them to enter the next education level. Kindergarten is the first formal education to enter children aged 4-6 years, until entering primary education. Children at 4-6 years of age usually have problems with non normative behaviors, behavior can be seen from the level of development or have difficulty in adjusting either at study time (concentration) or in play activities at school or at home. To find out whether the child is having problems or not, the educator needs to understand and assess the child's development in all aspects. Decision support system is a system that can be used as a tool to determine the level of intelligence of children by providing an assessment of the child. The method used by the author is the method of Simple Additive Weighting (SAW) or better known as the weighted sum. Output in this method is the values that can provide benefits for researchers in knowing the child's intelligence to be held special coaching for children who have problems in its development. Quick and precise decisions become an important issue in a study. Data analysis is done by comparing between children. The result of SAW method analysis is a conclusion that helps teachers / educators to know the intelligence of their students. Keywords: decision support system, SAW, kindergarten intelligence. Abstrak: Taman kanak-kanak merupakan jenjang pendidikan anak usia dini yang memiliki peran penting dalam mengembangkan kepribadian anak serta mempersiapkan mereka untuk memasuki jenjang pendidikan selanjutnya. TK adalah jenjang pendidikan formal pertama yang memasuki anak usia 4-6 tahun, sampai memasuki pendidikan dasar. Anak pada usia 4-6 tahun biasanya memiliki masalah pada prilaku non normatif, prilaku dapat dilihat dari tingkat perkembangannya atau mengalami kesulitan dalam menyesuaikan diri baik pada waktu belajar (konsentrasi) maupun dalam aktivitas bermain disekolah atau dirumah. Untuk mengetahui apakah anak bermasalah atau tidak, pendidik perlu memahami dan memberikan penilaian terhadap perkembangan anak dalam segala aspek. Sistem pendukung keputusan merupakan sistem yang dapat digunakan sebagai alat bantu untuk mengetahui tingkat kecerdasan anak dengan memberikan penilaian terhadap anak tersebut. Metode yang digunakan penulis adalah metode Simple Additive Weighting (SAW) atau yang lebih dikenal dengan penjumlahan berbobot. Output dalam metode ini merupakan nilai-nilai yang dapat memberikan keuntungan bagi peneliti dalam mengetahui kecerdasan anak guna diadakan pembinaan khusus untuk anak-anak tk yang memiliki masalah dalam perkembangannya. Keputusan yang cepat dan tepat menjadi persoalan penting dalam sebuah penelitian. Analisa data dilakukan dengan cara membandingkan antara anak. Hasil dari analisa metode SAW ini menjadi kesimpulan yang membantu guru/pendidik untuk mengetahui tingat kecerdasan anak didiknya. Kata kunci: sistem pendukung keputusan, SAW, kecerdasan anak TK

Sistem Pendukung Keputusan Penerima Beasiswa Berbasis WEB Menggunakan Metode Simple Additive Weighting (SAW) pada Pondok Pesantren Daarul Ahsan

2020 ◽  
Vol 5 (1) ◽  
pp. 54
Author(s):  
Liesnaningsih Liesnaningsih ◽  
Rohmat Taufiq ◽  
Rachmat Destriana ◽  
Aditya Prayoga Suyitno
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Weighted Sum ◽  
Work Program ◽  
Weighted Sum Method ◽  
Scholarship Program ◽  
Simple Additive Weighting ◽  
The One ◽  
To Receive

Scholarships are a work program in every school or madrasa. The scholarship program is held to ease the burden on students in pursuing their studies especially in financial costs. Scholarships are given to students in a selective manner in accordance with the type of scholarships held. Distribution of scholarships is carried out by several institutions to help someone who is less capable or achievers during his studies. Based on this to help determine in determining a student to get a scholarship, then a decision support system is needed. The model used in this decision support system is simple additive weighting, this method is often also known as the weighted sum method, the basic concept of this method is to find the weighted sum of the ranking of performance on each alternative on all attributes. This method was chosen because it is able to select the best alternative from a number of alternatives, in this case the intended alternative is the one who is entitled to receive a scholarship based on specified criteria.

Recommendation Decision Support System Smartphone Selection By Method Web-Based Simple Additive Weighting (SAW)

2020 ◽  
Vol 9 (2) ◽  
pp. 213
Author(s):  
I Nengah Aryadi Suputra ◽  
I Gusti Agung Gede Arya Kadyanan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Communication Technology ◽  
Support System ◽  
Web Based ◽  
Simple Process ◽  
A Value ◽  
Wide Range ◽  
Simple Additive Weighting ◽  
Selection Of

Smartphones are already a must-have communication technology to make it easier to live your daily life. However, with so many choices can make consumers confused in determining the appropriate choice. The Simple Additive Weighting (SAW) method can help in the simple process that can be applied to decision-making cases such as in smartphone selection recommendations with a wide range of attributes. In the case of this study, the results were obtained that the Realme X3 Superzoom smartphone scored the highest preference with a value of 22. With this research, it is hoped that this decision support system can help potential consumers to more easily consider in the selection of smartphones that suit their wishes or needs

scholarly journals Rancang Bangun Sistem Pendukung Keputusan Penilaian Karyawan Terbaik Pada PT. Surya Toto Indonesia, Tbk Menggunakan Metode Simple Additive Weighting (SAW) Berbasis WEB

2021 ◽  
Vol 6 (1) ◽  
pp. 188
Author(s):  
Rohmat Taufiq ◽  
Ahmad Hambali ◽  
Aries Saifudin
Keyword(s):  
Decision Support ◽  
Data Collection ◽  
Decision Support System ◽  
Performance Appraisal ◽  
Support System ◽  
Web Based ◽  
Existing Problems ◽  
Performance Appraisal Process ◽  
Simple Additive Weighting ◽  
Proper Performance

PT. Surya Toto Indonesia is a large company in Banten Province. This company is located on Jl. MH. Thamrin km. 7, Tangerang Banten. Until now, the number of employees is around 1.200 employees. With a large number of employees, a proper performance appraisal decision support system is needed so that the work results of employees can be clearly and well defined. Until now, the process for performance appraisal is still using paper or also called manual which causes the process to take a bit longer and reports cannot be enjoyed in real time. From the existing problems, a web-based decision support system is needed which will be able to facilitate all parties related to the performance appraisal process. The method used begins with communication with the parties involved. Furthermore, planning, the process of data collection, analysis, planning, and finally reporting is carried out. The conclusion from this suggests that using the existing criteria provides two more criteria. By giving weights and calculations performed on three employees, the score obtained for employee C got the highest score (0.92) followed by employee B, and the lowest score (0.84) was employee A.

scholarly journals Sistem Pendukung Keputusan Pemilihan Calon Peserta Lomba Siswa Berprestasi

Respati ◽  
2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Veny Cahya Hardita ◽  
I Wayan Pandu Swardiana ◽  
Kusrini Kusrini
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Selection Process ◽  
Assessment Process ◽  
Final Decision ◽  
Addition Method ◽  
Decision Matrix ◽  
Simple Additive Weighting ◽  
Selection Of

INTISARIKompetisi siswa berprestasi merupakan ajang setiap tahun untuk para siswa menengah kejuruan dalam unjuk kemampuan mereka dalam bidangnya. Banyaknya siswa dari berbagai jurusan yang mengikuti seleksi lomba kompetensi, sehingga dalam proses seleksi pelaksanaan menjadi kurang optimal dalam segi proses penilaian dan penentuan keputusan akhir. Sehingga diputuskan untuk menggunakan sistem pendukung keputusan pemilihan calon peserta lomba siswa berprestasi yang dapat digunakan untuk membantu sekolah dalam menentukan siswa mana yang layak untuk mengikuti kompetisi tersebut. Metode yang digunakan yaitu Simple Additive Weighting. Metode ini merupakan metode penjumlahan berbobot. Metode ini membutuhkan proses normalisasi matriks keputusan (x) ke suatu skala yang dapat dibandingkan dengan semua rating alternatif yang ada. Hasil penelitian yaitu berupa perangkingan siswa mana yang cocok sebagai calon peserta lomba. Dalam penelitian ini, siswa yang terpilih yaitu Siswa ketiga dengan nilai akhir perhitungan yaitu 13,5. Sistem yang dibangun pada penelitian ni telah sesuai dengan perhitungan manual sehingga sistem ini dikatakan telah berhasil diterapkan.Kata kunci— kompetisi siswa, Simple Additive Weighting, Sistem Pendukung Keputusan. ABSTRACTOutstanding student competition is an event every year for middle students in demonstrating their abilities in their fields. The number of students from various departments participated in the competency selection process, so that in the implementation selection process it was less than optimal in terms of the assessment process and final decision making. So it was decided to use a decision support system for the selection of outstanding student candidates who could be used to assist schools in determining which students were eligible for the competition. The method used is Simple Additive Weighting. This method is a weighted addition method. This method requires the process of normalizing the decision matrix (x) to a scale that can be compared with all available alternative ratings. The results of the study are in the form of ranking which students are suitable as potential participants. In this study, the selected students were the third student with the final value of the calculation, 13.5. The system built on this research is in accordance with manual calculations so that the system is said to have been successfully implemented.Keywords— student contestants, Simple Additive Weighting, Decision Support System.

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